Objective. We herein aim to explore the relationship between the triglyceride-glucose (TyG) index and metabolic syndrome (MS). Methods. We enrolled 298,652 individuals with an average age of 47.08 ± 12.94 years and who underwent health check-ups at the First Affiliated Hospital of Wuhu Wannan Medical College in this cross-sectional study from 2014 to 2016. We enlisted 125,025 women (41.86%) and 173,627 men (58.14%). The survey information included a questionnaire survey, a physical examination, and a laboratory examination. Results. The prevalence of MS increased gradually in the TyG-index subgroups (Q1, TyG <8.30; Q2, 8.30≤ TyG <8.83; and Q3, TyG ≥8.83). We noted significant differences in hypertension, hyperlipidemia, hyperglycemia, sex, age, body mass index (BMI), smoking and drinking habits, and estimated glomerular filtration rate between the TyG-index subgroups. Multiclass logistic regression analysis showed that the group with TyG <8.30 was the reference group, and the 8.30≤ TyG <8.83 and the TyG ≥8.83 groups exhibited a higher TyG index with MS, and a lower TyG index without MS disease. In the linear curve analysis of the TyG index and MS components, BMI, systolic blood pressure, and diastolic blood pressure showed upward trends, while high-density lipoprotein cholesterol showed no obvious trend in the TyG index at a range of 7.8–11.0. Receiver operating characteristic analysis was used to evaluate the predictive value of the TyG index, triglycerides, and fasting blood glucose for MS, and we found that the area under the TyG index curve was the largest (AUC = 0.89). Conclusion. There were associations between the TyG index and MS and its components, and the TyG index is therefore of great value in the early diagnosis of MS.
The aim of this study is to evaluate the value of the triglyceride-glucose (TyG) index and the risk of large artery atherosclerotic (LAA) stroke. Information on general demographic and clinical characteristics, magnetic resonance angiography (MRA) examination, and blood biochemical index determination were obtained. Based on age stratification, three models to evaluate the odds ratio (OR) and the 95% confidence interval (95% CI) were employed to determine the correlation between the TyG index and the risk of LAA stroke. The most effective TyG index threshold in predicting a high risk of LAA stroke was identified using receiver operating characteristic (ROC) curve analysis. Logistic regression verified the association between the risk of LAA stroke and the TyG index. Both with and without age stratification, logistic regression analysis showed that the TyG index was a significant predictor of the occurrence of LAA stroke ( P < 0.05 ). The maximum Youden index for determining a high risk of LAA stroke was found at a TyG index of 4.60. The area under the ROC curve was 0.69 (95% CI: 0.646–0.742, P < 0.05 ), sensitivity was 78.0%, and specificity was 63.4%. An elevated TyG index was remarkably associated with a high risk of LAA stroke.
Background: Rifampicin resistant tuberculosis is a serious problem faced by tuberculosis control in China, and rapid detection of rifampicin resistance is urgently needed. Objectives: This study aimed to describe the molecular characteristics and frequency of RNA polymerase β subunit (rpoB) gene mutations in rifampicin-resistant tuberculosis (RR-TB) in the Anqing area. Methods: The rpoB gene fragment was amplified by polymerase chain reaction (PCR), and all isolates were sequenced for mutations in the rpoB gene. The mutations were obtained by comparing the sequencing results with the MUBII database. In addition, logistic regression was used to analyze the relationship between rpoB mutations and rifampicin (RIF) resistance. Results: There were 152 males and 42 females in this study, and the mean age was 56.60 ± 17.91 years. Mutations in the rpoB gene were a risk factor for rifampicin resistance (β = 5.271, P < 0.001 OR = 195.192). Among the 19 RR-TB strains, 16 (84.21%) had mutations in the ropB gene, and three (1.71%) of 175 rifampicin-sensitive strains were mutated. The mutation sites of five strains (31.58%) were at the codon 526 and five strains (31.58%) at the codon 531. However, there were two strains at the codon 513 and two strains at the codon 533 (15.79%), and two strains (10.53%) were double mutations. Conclusions: The mutation characteristics of the rpoB gene in the Anqing area are complex, and rpoB mutation detection can be used as an indicator to screen drug resistance of RIF.
Background Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) is a frequently used typing method for identifying the Beijing genotype of Mycobacterium tuberculosis (Mtb), which is easily transformed into rifampicin (RIF) resistance. The RIF resistance of Mtb is considered to be highly related with the mutation of rpoB gene. Therefore, this study aimed to analyze the relationship between the repetitive number of MIRU loci and the mutation of rpoB gene. Methods An open-source whole-genome sequencing data of Mtb was used to detect the mutation of rpoB gene and the repetitive number of MIRU loci by bioinformatics methods. Cochran-Armitage analysis was performed to analyze the trend of the rpoB gene mutation rate and the repetitive number of MIRU loci. Results Among 357 rifampicin-resistant tuberculosis (RR-TB), 304 strains with mutated rpoB genes were detected, and 6 of 67 rifampicin susceptible strains were detected mutations. The rpoB gene mutational rate showed an upward trend with the increase of MIRU10, MIRU39, QUB4156 and MIRU16 repetitive number, but only the repetitive number of MIRU10, MRIU39 and QUB4156 were risk factors for rpoB gene mutation. The Hunter-Gaston discriminatory index (HGDI) of MIRU10 (0.65) and QUB4156 (0.62) was high in the overall sample, while MIRU39 (0.39) and MIRU16 (0.43) showed a moderate discriminatory Power. Conclusion The mutation rate of rpoB gene increases with the addition of repetitive numbers of MIRU10, QUB4156 and MIRU39 loci.
Background Both age and gender are the influence factors of hemoglobin concentration. However, the changing trend of hemoglobin levels between males and females with age remains unclear. This study aimed to explore their changing characteristics in different genders. Methods A cross-sectional study was conducted in Physical Examination Center of the First Affiliated Hospital of Wannan Medical College in Wuhu, China from 2014 to 2016. The generalized linear model was applied to explore the relationship between age, gender and hemoglobin levels. Results Among the 303,084 participants, the mean age for females and males was 46.9 ± 13.4(15–98) and 48.1 ± 13.7(14–98) years old, respectively. Generalized smoothing splines showed that hemoglobin levels increased up to age 25 and then decreased in men; in women the levels increased up until age 20, and then decreased, with slight increase again (β = 0.244, P < 0.01). After dividing all participants into hyperglycemia and normal groups, only the normal female group showed a significant upward trend (β = 0.257, P < 0.01) between ages 50–59. Conclusions Hemoglobin concentration changes with age and the curve is different in males and females. The slightly upward trend of female hemoglobin in the age range of 50–59 years old should be considered in developing the reference range of hemoglobin making.
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